Senior Director/vp - Head Of Ai Engineering

Commerceiq

Toronto, Canada
Base: $200,000 - $300,000pyear; bonus/equity: long...
On-site
Player-coach role
Hands-on ai platform architecture
Build and mentor ai engineering team
Head the incubation of CommerceIQ’s next generation of AI-driven SaaS solutions, acting as a player-coach to shape technical architecture and mentor a team

Job Summary

  • Head the incubation of CommerceIQ’s next generation of AI-driven SaaS solutions, acting as a player-coach to shape technical architecture and mentor a team.
  • Design and build scalable ML infrastructure, lead the development of agentic applications, and establish best practices for AI development.
  • Partner directly with cofounders to set and execute the AI engineering strategy, driving measurable business impact for leading brands.

Matching Summary

Head the incubation of CommerceIQ’s next generation of AI-driven SaaS solutions, acting as a player-coach to shape technical architecture and mentor a team.

Salary

Base: $200,000 - $300,000/year; Bonus/Equity: Long-term incentives (stock options), potential discretionary bonuses; Benefits: Not specified

Skills & Requirements

Must-have

  • Player-coach role
  • Hands-on AI platform architecture
  • Build and mentor AI engineering team
  • Scale AI systems from research to production
  • Train and ship AI models to production
  • Build agentic applications
  • Machine learning systems at scale
  • Scalable ML infrastructure design
  • Responsible AI development
  • Backend and ML-oriented programming (Python, Java, Scala, C++)

Nice-to-have

  • Deep understanding of applied AI for commerce
  • Translate research breakthroughs into features
  • Establish engineering standards and culture

Key Requirements

  • 5+ years backend software engineering
  • 2+ years leading AI/ML teams
  • Hands-on AI/ML model training
  • Proven experience building and deploying agentic applications
  • Launching AI models and agents into production at scale
  • Advanced expertise in ML, deep learning, reinforcement learning
  • Experience designing scalable data systems and pipelines
  • Knowledge of modern ML toolkits (PyTorch, TensorFlow, Hugging Face, LangChain, Ray)
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field

Work Rights

Must be located in the Toronto area

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